policy
RL-based-ai-chess
cnvnaidu · PyTorch
or hover any field below to flag it
Overview
Name
RL-based-ai-chess
Author
cnvnaidu
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
♟️ Reinforcement Learning-Based Chess AI A custom-built Reinforcement Learning (RL) agent designed to learn and play chess through self-play, using a simplified environment and reward structure. This project tracks performance over 500 training episodes and identifies the best opening sequence.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list RL-based-ai-chess yet.
Datasets that reference this policy
0No datasets reference RL-based-ai-chess yet.